KPainter

From idea to image

Turn an idea into a finished image

AI Image is the fastest path to a polished single visual. Choose model-specific ratios and quality, and use reference images to guide subjects, composition, and visual direction.

  • Choose GPT Image or Nano Banana
  • Use reference images and model-specific ratios and quality
  • Create posters, covers, illustrations, product visuals, and social assets

Sample outputs

AI Image Generator
街头传单海报
AI Image
街头传单海报
原理手册
AI Image
原理手册
竖屏条漫
AI Image
竖屏条漫

Best fit for

Brand and marketing

Create campaign posters, brand visuals, product scenes, and ad assets.

Content creators

Make covers, illustrations, social graphics, and visual summaries.

Product and design teams

Explore composition, materials, scenes, and visual directions.

What AI Image provides

Model choice

Choose a model based on text rendering, visual style, ratio, and cost.

Reference-guided generation

Upload an image to guide the subject, composition, or visual style.

Multiple aspect ratios

Use landscape, portrait, or square ratios supported by the selected model.

Workflow

01

Describe the image

Describe the subject, setting, composition, style, and use case.

02

Choose model and settings

Choose ratio and quality from the selected model’s capabilities.

03

Generate and refine

Review text, subjects, and composition, then refine with a new instruction.

From topic to deliverable content

A good result depends on the model, but also on a clear topic, audience, source material, and delivery format. These steps help you use KPainter for real teaching, training, and product education work.

Start with the audience and the job

Before using the AI Image Generator, define whether the content is for students, new hires, customers, sales teams, or internal experts. The audience determines depth, terminology, visual pacing, and the call to action at the end.

If the same topic needs to serve more than one audience, create a primary version first, then adapt it into a lesson opener, training recap, product explanation, or interactive practice activity. That keeps reuse high without turning the output into a generic content pile.

Prepare source material as a teachable structure

Break source documents, slides, topic notes, or knowledge points into context, key concepts, steps, examples, common mistakes, and conclusions. Clear structure gives the generation process a stronger path and makes the result easier to edit, review, and reuse.

For education teams, this maps to learning goals and classroom activities. For training teams, it maps to SOPs, job tasks, product features, and recurring questions. The structure decision before generation usually saves more time than heavy revision after output.

Confirm delivery and reuse

After generation, decide whether the output is for a classroom, training recap, product explanation, sales demo, or public sharing. The delivery context affects the title, cover, narration pace, and editing priorities.

If one topic needs to be reused over time, combine video, slides, visual summaries, and interactive lessons so the same knowledge asset can support different situations.

Fold results into an update plan

After delivery, keep improving the content based on class feedback, training questions, customer objections, or team review. Strong topics can grow into examples, practice tasks, FAQs, or course fragments.

Maintenance is more useful than one-off generation. Keep the version, use case, and next action clear so content can become part of a reusable team knowledge base.

FAQ

Which models are supported?

The current creator offers GPT Image and Nano Banana. Use the live creator for exact models, ratios, and quality options.

Can I upload a reference image?

Yes. Reference images can guide subjects, composition, and visual direction.

Do all models use the same ratios?

No. The creator shows the ratios and quality options supported by the current model.

Start with one idea and generate an image

Choose the model, ratio, and quality for the use case, then keep refining.

DocsAbout KPainter